Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations10000
Missing cells2975
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 MiB
Average record size in memory746.3 B

Variable types

Numeric16
Text4
Categorical1
URL2

Alerts

best_book_id is highly overall correlated with goodreads_book_id and 2 other fieldsHigh correlation
book_id is highly overall correlated with ratings_1 and 7 other fieldsHigh correlation
books_count is highly overall correlated with ratings_3High correlation
goodreads_book_id is highly overall correlated with best_book_id and 2 other fieldsHigh correlation
original_publication_year is highly overall correlated with best_book_id and 2 other fieldsHigh correlation
ratings_1 is highly overall correlated with book_id and 7 other fieldsHigh correlation
ratings_2 is highly overall correlated with book_id and 7 other fieldsHigh correlation
ratings_3 is highly overall correlated with book_id and 8 other fieldsHigh correlation
ratings_4 is highly overall correlated with book_id and 7 other fieldsHigh correlation
ratings_5 is highly overall correlated with book_id and 7 other fieldsHigh correlation
ratings_count is highly overall correlated with book_id and 7 other fieldsHigh correlation
work_id is highly overall correlated with best_book_id and 2 other fieldsHigh correlation
work_ratings_count is highly overall correlated with book_id and 7 other fieldsHigh correlation
work_text_reviews_count is highly overall correlated with book_id and 7 other fieldsHigh correlation
language_code is highly imbalanced (73.7%) Imbalance
isbn has 700 (7.0%) missing values Missing
isbn13 has 585 (5.9%) missing values Missing
original_title has 585 (5.9%) missing values Missing
language_code has 1084 (10.8%) missing values Missing
ratings_1 is highly skewed (γ1 = 37.71159779) Skewed
book_id is uniformly distributed Uniform
book_id has unique values Unique
goodreads_book_id has unique values Unique
best_book_id has unique values Unique
work_id has unique values Unique

Reproduction

Analysis started2024-12-11 17:24:57.545629
Analysis finished2024-12-11 17:25:37.580847
Duration40.04 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

book_id
Real number (ℝ)

High correlation  Uniform  Unique 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5000.5
Minimum1
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:37.730922image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile500.95
Q12500.75
median5000.5
Q37500.25
95-th percentile9500.05
Maximum10000
Range9999
Interquartile range (IQR)4999.5

Descriptive statistics

Standard deviation2886.8957
Coefficient of variation (CV)0.5773214
Kurtosis-1.2
Mean5000.5
Median Absolute Deviation (MAD)2500
Skewness0
Sum50005000
Variance8334166.7
MonotonicityStrictly increasing
2024-12-11T22:55:38.030836image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
10000 1
< 0.1%
9999 1
< 0.1%
9998 1
< 0.1%
9997 1
< 0.1%
9996 1
< 0.1%
9995 1
< 0.1%
9994 1
< 0.1%
9993 1
< 0.1%
9992 1
< 0.1%
9991 1
< 0.1%

goodreads_book_id
Real number (ℝ)

High correlation  Unique 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5264696.5
Minimum1
Maximum33288638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:38.190174image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5804.6
Q146275.75
median394965.5
Q39382225.2
95-th percentile22055280
Maximum33288638
Range33288637
Interquartile range (IQR)9335949.5

Descriptive statistics

Standard deviation7575461.9
Coefficient of variation (CV)1.4389171
Kurtosis0.68873226
Mean5264696.5
Median Absolute Deviation (MAD)388295
Skewness1.3452531
Sum5.2646965 × 1010
Variance5.7387622 × 1013
MonotonicityNot monotonic
2024-12-11T22:55:38.380785image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8914 1
 
< 0.1%
2767052 1
 
< 0.1%
3 1
 
< 0.1%
41865 1
 
< 0.1%
2657 1
 
< 0.1%
4671 1
 
< 0.1%
11870085 1
 
< 0.1%
5907 1
 
< 0.1%
5107 1
 
< 0.1%
960 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
33288638 1
< 0.1%
32848471 1
< 0.1%
32075671 1
< 0.1%
31845516 1
< 0.1%
31538647 1
< 0.1%
31538635 1
< 0.1%
31538614 1
< 0.1%
31194270 1
< 0.1%
31176886 1
< 0.1%
31140847 1
< 0.1%

best_book_id
Real number (ℝ)

High correlation  Unique 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5471213.6
Minimum1
Maximum35534230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:38.531629image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5935.8
Q147911.75
median425123.5
Q39636112.5
95-th percentile22816426
Maximum35534230
Range35534229
Interquartile range (IQR)9588200.8

Descriptive statistics

Standard deviation7827329.9
Coefficient of variation (CV)1.4306387
Kurtosis0.7464968
Mean5471213.6
Median Absolute Deviation (MAD)418042
Skewness1.3503132
Sum5.4712136 × 1010
Variance6.1267093 × 1013
MonotonicityNot monotonic
2024-12-11T22:55:38.707415image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8914 1
 
< 0.1%
2767052 1
 
< 0.1%
3 1
 
< 0.1%
41865 1
 
< 0.1%
2657 1
 
< 0.1%
4671 1
 
< 0.1%
11870085 1
 
< 0.1%
5907 1
 
< 0.1%
5107 1
 
< 0.1%
960 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
21 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
35534230 1
< 0.1%
35534215 1
< 0.1%
35036409 1
< 0.1%
34371311 1
< 0.1%
34324605 1
< 0.1%
33602148 1
< 0.1%
33586715 1
< 0.1%
33396914 1
< 0.1%
33393313 1
< 0.1%
33290408 1
< 0.1%

work_id
Real number (ℝ)

High correlation  Unique 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8646183.4
Minimum87
Maximum56399597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:38.865469image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile58190.6
Q11008841
median2719524.5
Q314517748
95-th percentile40852955
Maximum56399597
Range56399510
Interquartile range (IQR)13508907

Descriptive statistics

Standard deviation11751061
Coefficient of variation (CV)1.3591038
Kurtosis2.4941074
Mean8646183.4
Median Absolute Deviation (MAD)2394770.5
Skewness1.7630534
Sum8.6461834 × 1010
Variance1.3808743 × 1014
MonotonicityNot monotonic
2024-12-11T22:55:39.049134image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11817 1
 
< 0.1%
2792775 1
 
< 0.1%
4640799 1
 
< 0.1%
3212258 1
 
< 0.1%
3275794 1
 
< 0.1%
245494 1
 
< 0.1%
16827462 1
 
< 0.1%
1540236 1
 
< 0.1%
3036731 1
 
< 0.1%
3338963 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
87 1
< 0.1%
98 1
< 0.1%
104 1
< 0.1%
114 1
< 0.1%
115 1
< 0.1%
141 1
< 0.1%
362 1
< 0.1%
387 1
< 0.1%
423 1
< 0.1%
434 1
< 0.1%
ValueCountFrequency (%)
56399597 1
< 0.1%
55548884 1
< 0.1%
55483783 1
< 0.1%
54007532 1
< 0.1%
53450421 1
< 0.1%
53292620 1
< 0.1%
52885176 1
< 0.1%
52218770 1
< 0.1%
52218734 1
< 0.1%
51814255 1
< 0.1%

books_count
Real number (ℝ)

High correlation 

Distinct597
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.7127
Minimum1
Maximum3455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:39.208101image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q123
median40
Q367
95-th percentile215.05
Maximum3455
Range3454
Interquartile range (IQR)44

Descriptive statistics

Standard deviation170.47073
Coefficient of variation (CV)2.2515473
Kurtosis95.303049
Mean75.7127
Median Absolute Deviation (MAD)20
Skewness8.4100916
Sum757127
Variance29060.269
MonotonicityNot monotonic
2024-12-11T22:55:39.390213image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 186
 
1.9%
24 174
 
1.7%
18 163
 
1.6%
20 162
 
1.6%
30 161
 
1.6%
33 157
 
1.6%
27 157
 
1.6%
37 157
 
1.6%
19 154
 
1.5%
14 153
 
1.5%
Other values (587) 8376
83.8%
ValueCountFrequency (%)
1 39
 
0.4%
2 53
0.5%
3 42
 
0.4%
4 49
0.5%
5 71
0.7%
6 83
0.8%
7 88
0.9%
8 92
0.9%
9 94
0.9%
10 107
1.1%
ValueCountFrequency (%)
3455 1
< 0.1%
3296 1
< 0.1%
2618 1
< 0.1%
2573 1
< 0.1%
2568 1
< 0.1%
2498 1
< 0.1%
2448 1
< 0.1%
2380 1
< 0.1%
2303 1
< 0.1%
2277 1
< 0.1%

isbn
Text

Missing 

Distinct9300
Distinct (%)100.0%
Missing700
Missing (%)7.0%
Memory size622.9 KiB
2024-12-11T22:55:39.709401image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.1676344
Min length7

Characters and Unicode

Total characters85259
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9300 ?
Unique (%)100.0%

Sample

1st row439023483
2nd row439554934
3rd row316015849
4th row61120081
5th row743273567
ValueCountFrequency (%)
439023483 1
 
< 0.1%
439554934 1
 
< 0.1%
316015849 1
 
< 0.1%
61120081 1
 
< 0.1%
743273567 1
 
< 0.1%
525478817 1
 
< 0.1%
618260307 1
 
< 0.1%
316769177 1
 
< 0.1%
1416524797 1
 
< 0.1%
679783261 1
 
< 0.1%
Other values (9290) 9290
99.9%
2024-12-11T22:55:40.163000image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10582
12.4%
4 9942
11.7%
5 9363
11.0%
3 9036
10.6%
0 8916
10.5%
6 7835
9.2%
2 7805
9.2%
7 7381
8.7%
8 6847
8.0%
9 6738
7.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 85259
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 10582
12.4%
4 9942
11.7%
5 9363
11.0%
3 9036
10.6%
0 8916
10.5%
6 7835
9.2%
2 7805
9.2%
7 7381
8.7%
8 6847
8.0%
9 6738
7.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 85259
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 10582
12.4%
4 9942
11.7%
5 9363
11.0%
3 9036
10.6%
0 8916
10.5%
6 7835
9.2%
2 7805
9.2%
7 7381
8.7%
8 6847
8.0%
9 6738
7.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 85259
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 10582
12.4%
4 9942
11.7%
5 9363
11.0%
3 9036
10.6%
0 8916
10.5%
6 7835
9.2%
2 7805
9.2%
7 7381
8.7%
8 6847
8.0%
9 6738
7.9%

isbn13
Real number (ℝ)

Missing 

Distinct9153
Distinct (%)97.2%
Missing585
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean9.7550443 × 1012
Minimum1.9517034 × 108
Maximum9.7900077 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:40.482389image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum1.9517034 × 108
5-th percentile9.7800609 × 1012
Q19.7803162 × 1012
median9.7804515 × 1012
Q39.7808308 × 1012
95-th percentile9.7816114 × 1012
Maximum9.7900077 × 1012
Range9.7898125 × 1012
Interquartile range (IQR)5.1458418 × 108

Descriptive statistics

Standard deviation4.4286192 × 1011
Coefficient of variation (CV)0.045398248
Kurtosis323.64113
Mean9.7550443 × 1012
Median Absolute Deviation (MAD)2.9551778 × 108
Skewness-17.762289
Sum9.1843742 × 1016
Variance1.9612668 × 1023
MonotonicityNot monotonic
2024-12-11T22:55:40.648612image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.780061783 × 10122
 
< 0.1%
9.780385342 × 10122
 
< 0.1%
9.780983213 × 10122
 
< 0.1%
9.78054506 × 10122
 
< 0.1%
9.780394758 × 10122
 
< 0.1%
9.780061714 × 10122
 
< 0.1%
9.780670026 × 10122
 
< 0.1%
9.780312625 × 10122
 
< 0.1%
9.78006444 × 10122
 
< 0.1%
9.78067972 × 10122
 
< 0.1%
Other values (9143) 9395
94.0%
(Missing) 585
 
5.9%
ValueCountFrequency (%)
195170342 1
< 0.1%
2.598624752 × 10101
< 0.1%
3.180901474 × 10101
< 0.1%
7.678360942 × 10101
< 0.1%
9.789380659 × 10101
< 0.1%
6.308096811 × 10111
< 0.1%
6.355170805 × 10111
< 0.1%
6.45573003 × 10111
< 0.1%
1.230000006 × 10121
< 0.1%
2.940011081 × 10121
< 0.1%
ValueCountFrequency (%)
9.790007672 × 10121
< 0.1%
9.789993912 × 10121
< 0.1%
9.789992196 × 10121
< 0.1%
9.789992196 × 10121
< 0.1%
9.789992196 × 10121
< 0.1%
9.789991374 × 10121
< 0.1%
9.789953891 × 10121
< 0.1%
9.789953891 × 10121
< 0.1%
9.789953891 × 10121
< 0.1%
9.789953891 × 10121
< 0.1%
Distinct4664
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size761.5 KiB
2024-12-11T22:55:40.979047image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Length

Max length742
Median length307
Mean length18.5215
Min length3

Characters and Unicode

Total characters185215
Distinct characters233
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3321 ?
Unique (%)33.2%

Sample

1st rowSuzanne Collins
2nd rowJ.K. Rowling, Mary GrandPré
3rd rowStephenie Meyer
4th rowHarper Lee
5th rowF. Scott Fitzgerald
ValueCountFrequency (%)
john 302
 
1.1%
james 251
 
0.9%
david 229
 
0.8%
robert 193
 
0.7%
michael 193
 
0.7%
stephen 165
 
0.6%
richard 132
 
0.5%
king 112
 
0.4%
william 108
 
0.4%
anne 105
 
0.4%
Other values (6357) 26432
93.7%
2024-12-11T22:55:41.530877image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18518
 
10.0%
e 16160
 
8.7%
a 15524
 
8.4%
n 12653
 
6.8%
r 12128
 
6.5%
i 10774
 
5.8%
o 9085
 
4.9%
l 8578
 
4.6%
s 6475
 
3.5%
t 6471
 
3.5%
Other values (223) 68849
37.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 185215
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18518
 
10.0%
e 16160
 
8.7%
a 15524
 
8.4%
n 12653
 
6.8%
r 12128
 
6.5%
i 10774
 
5.8%
o 9085
 
4.9%
l 8578
 
4.6%
s 6475
 
3.5%
t 6471
 
3.5%
Other values (223) 68849
37.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 185215
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18518
 
10.0%
e 16160
 
8.7%
a 15524
 
8.4%
n 12653
 
6.8%
r 12128
 
6.5%
i 10774
 
5.8%
o 9085
 
4.9%
l 8578
 
4.6%
s 6475
 
3.5%
t 6471
 
3.5%
Other values (223) 68849
37.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 185215
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18518
 
10.0%
e 16160
 
8.7%
a 15524
 
8.4%
n 12653
 
6.8%
r 12128
 
6.5%
i 10774
 
5.8%
o 9085
 
4.9%
l 8578
 
4.6%
s 6475
 
3.5%
t 6471
 
3.5%
Other values (223) 68849
37.2%

original_publication_year
Real number (ℝ)

High correlation 

Distinct293
Distinct (%)2.9%
Missing21
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1981.9877
Minimum-1750
Maximum2017
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)0.3%
Memory size78.2 KiB
2024-12-11T22:55:41.714793image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum-1750
5-th percentile1922
Q11990
median2004
Q32011
95-th percentile2015
Maximum2017
Range3767
Interquartile range (IQR)21

Descriptive statistics

Standard deviation152.57667
Coefficient of variation (CV)0.076981642
Kurtosis240.59653
Mean1981.9877
Median Absolute Deviation (MAD)8
Skewness-14.755244
Sum19778255
Variance23279.639
MonotonicityNot monotonic
2024-12-11T22:55:41.878082image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2012 568
 
5.7%
2011 556
 
5.6%
2013 518
 
5.2%
2010 473
 
4.7%
2014 437
 
4.4%
2009 432
 
4.3%
2008 383
 
3.8%
2007 363
 
3.6%
2006 362
 
3.6%
2005 326
 
3.3%
Other values (283) 5561
55.6%
ValueCountFrequency (%)
-1750 1
 
< 0.1%
-762 1
 
< 0.1%
-750 2
< 0.1%
-720 1
 
< 0.1%
-560 1
 
< 0.1%
-500 3
< 0.1%
-476 1
 
< 0.1%
-458 2
< 0.1%
-441 1
 
< 0.1%
-440 1
 
< 0.1%
ValueCountFrequency (%)
2017 11
 
0.1%
2016 198
 
2.0%
2015 306
3.1%
2014 437
4.4%
2013 518
5.2%
2012 568
5.7%
2011 556
5.6%
2010 473
4.7%
2009 432
4.3%
2008 383
3.8%

original_title
Text

Missing 

Distinct9274
Distinct (%)98.5%
Missing585
Missing (%)5.9%
Memory size783.5 KiB
2024-12-11T22:55:42.223691image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Length

Max length196
Median length128
Mean length22.997132
Min length1

Characters and Unicode

Total characters216518
Distinct characters633
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9151 ?
Unique (%)97.2%

Sample

1st rowThe Hunger Games
2nd rowHarry Potter and the Philosopher's Stone
3rd rowTwilight
4th rowTo Kill a Mockingbird
5th rowThe Great Gatsby
ValueCountFrequency (%)
the 4267
 
11.2%
of 1818
 
4.8%
a 854
 
2.2%
and 734
 
1.9%
in 450
 
1.2%
to 394
 
1.0%
for 212
 
0.6%
1 206
 
0.5%
you 179
 
0.5%
166
 
0.4%
Other values (9532) 28905
75.7%
2024-12-11T22:55:42.780319image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29172
 
13.5%
e 21770
 
10.1%
o 12948
 
6.0%
a 11931
 
5.5%
n 11158
 
5.2%
r 11146
 
5.1%
i 11134
 
5.1%
t 10560
 
4.9%
s 8491
 
3.9%
h 8285
 
3.8%
Other values (623) 79923
36.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 216518
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29172
 
13.5%
e 21770
 
10.1%
o 12948
 
6.0%
a 11931
 
5.5%
n 11158
 
5.2%
r 11146
 
5.1%
i 11134
 
5.1%
t 10560
 
4.9%
s 8491
 
3.9%
h 8285
 
3.8%
Other values (623) 79923
36.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 216518
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29172
 
13.5%
e 21770
 
10.1%
o 12948
 
6.0%
a 11931
 
5.5%
n 11158
 
5.2%
r 11146
 
5.1%
i 11134
 
5.1%
t 10560
 
4.9%
s 8491
 
3.9%
h 8285
 
3.8%
Other values (623) 79923
36.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 216518
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29172
 
13.5%
e 21770
 
10.1%
o 12948
 
6.0%
a 11931
 
5.5%
n 11158
 
5.2%
r 11146
 
5.1%
i 11134
 
5.1%
t 10560
 
4.9%
s 8491
 
3.9%
h 8285
 
3.8%
Other values (623) 79923
36.9%

title
Text

Distinct9964
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size881.7 KiB
2024-12-11T22:55:43.084460image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Length

Max length186
Median length120
Mean length32.1462
Min length2

Characters and Unicode

Total characters321462
Distinct characters198
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9931 ?
Unique (%)99.3%

Sample

1st rowThe Hunger Games (The Hunger Games, #1)
2nd rowHarry Potter and the Sorcerer's Stone (Harry Potter, #1)
3rd rowTwilight (Twilight, #1)
4th rowTo Kill a Mockingbird
5th rowThe Great Gatsby
ValueCountFrequency (%)
the 5766
 
10.5%
of 2385
 
4.3%
1 1762
 
3.2%
a 976
 
1.8%
and 965
 
1.8%
2 878
 
1.6%
3 608
 
1.1%
in 562
 
1.0%
to 455
 
0.8%
4 327
 
0.6%
Other values (9713) 40308
73.3%
2024-12-11T22:55:43.598762image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45106
 
14.0%
e 29951
 
9.3%
o 17536
 
5.5%
a 16914
 
5.3%
r 15946
 
5.0%
n 15356
 
4.8%
i 15249
 
4.7%
t 13990
 
4.4%
s 11777
 
3.7%
h 11456
 
3.6%
Other values (188) 128181
39.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 321462
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
45106
 
14.0%
e 29951
 
9.3%
o 17536
 
5.5%
a 16914
 
5.3%
r 15946
 
5.0%
n 15356
 
4.8%
i 15249
 
4.7%
t 13990
 
4.4%
s 11777
 
3.7%
h 11456
 
3.6%
Other values (188) 128181
39.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 321462
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
45106
 
14.0%
e 29951
 
9.3%
o 17536
 
5.5%
a 16914
 
5.3%
r 15946
 
5.0%
n 15356
 
4.8%
i 15249
 
4.7%
t 13990
 
4.4%
s 11777
 
3.7%
h 11456
 
3.6%
Other values (188) 128181
39.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 321462
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
45106
 
14.0%
e 29951
 
9.3%
o 17536
 
5.5%
a 16914
 
5.3%
r 15946
 
5.0%
n 15356
 
4.8%
i 15249
 
4.7%
t 13990
 
4.4%
s 11777
 
3.7%
h 11456
 
3.6%
Other values (188) 128181
39.9%

language_code
Categorical

Imbalance  Missing 

Distinct25
Distinct (%)0.3%
Missing1084
Missing (%)10.8%
Memory size586.5 KiB
eng
6341 
en-US
2070 
en-GB
 
257
ara
 
64
en-CA
 
58
Other values (20)
 
126

Length

Max length5
Median length3
Mean length3.5344325
Min length2

Characters and Unicode

Total characters31513
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st roweng
2nd roweng
3rd rowen-US
4th roweng
5th roweng

Common Values

ValueCountFrequency (%)
eng 6341
63.4%
en-US 2070
 
20.7%
en-GB 257
 
2.6%
ara 64
 
0.6%
en-CA 58
 
0.6%
fre 25
 
0.2%
ind 21
 
0.2%
spa 20
 
0.2%
ger 13
 
0.1%
jpn 7
 
0.1%
Other values (15) 40
 
0.4%
(Missing) 1084
 
10.8%

Length

2024-12-11T22:55:43.771662image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
eng 6341
71.1%
en-us 2070
 
23.2%
en-gb 257
 
2.9%
ara 64
 
0.7%
en-ca 58
 
0.7%
fre 25
 
0.3%
ind 21
 
0.2%
spa 20
 
0.2%
ger 13
 
0.1%
jpn 7
 
0.1%
Other values (15) 40
 
0.4%

Most occurring characters

ValueCountFrequency (%)
e 8777
27.9%
n 8765
27.8%
g 6354
20.2%
- 2385
 
7.6%
U 2070
 
6.6%
S 2070
 
6.6%
G 257
 
0.8%
B 257
 
0.8%
a 153
 
0.5%
r 121
 
0.4%
Other values (15) 304
 
1.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31513
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8777
27.9%
n 8765
27.8%
g 6354
20.2%
- 2385
 
7.6%
U 2070
 
6.6%
S 2070
 
6.6%
G 257
 
0.8%
B 257
 
0.8%
a 153
 
0.5%
r 121
 
0.4%
Other values (15) 304
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31513
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8777
27.9%
n 8765
27.8%
g 6354
20.2%
- 2385
 
7.6%
U 2070
 
6.6%
S 2070
 
6.6%
G 257
 
0.8%
B 257
 
0.8%
a 153
 
0.5%
r 121
 
0.4%
Other values (15) 304
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31513
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8777
27.9%
n 8765
27.8%
g 6354
20.2%
- 2385
 
7.6%
U 2070
 
6.6%
S 2070
 
6.6%
G 257
 
0.8%
B 257
 
0.8%
a 153
 
0.5%
r 121
 
0.4%
Other values (15) 304
 
1.0%

average_rating
Real number (ℝ)

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.002191
Minimum2.47
Maximum4.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:43.939029image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum2.47
5-th percentile3.56
Q13.85
median4.02
Q34.18
95-th percentile4.38
Maximum4.82
Range2.35
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.25442748
Coefficient of variation (CV)0.063572049
Kurtosis0.88211881
Mean4.002191
Median Absolute Deviation (MAD)0.16
Skewness-0.51161702
Sum40021.91
Variance0.064733343
MonotonicityNot monotonic
2024-12-11T22:55:44.240208image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.94 187
 
1.9%
3.98 180
 
1.8%
4.16 178
 
1.8%
4.07 173
 
1.7%
4.04 173
 
1.7%
4.12 172
 
1.7%
3.95 166
 
1.7%
4.14 165
 
1.7%
3.93 164
 
1.6%
4.11 164
 
1.6%
Other values (174) 8278
82.8%
ValueCountFrequency (%)
2.47 1
 
< 0.1%
2.67 1
 
< 0.1%
2.76 1
 
< 0.1%
2.8 2
< 0.1%
2.84 3
< 0.1%
2.93 2
< 0.1%
2.96 1
 
< 0.1%
2.97 1
 
< 0.1%
2.98 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
4.82 1
 
< 0.1%
4.77 2
< 0.1%
4.76 2
< 0.1%
4.75 1
 
< 0.1%
4.74 2
< 0.1%
4.73 3
< 0.1%
4.72 2
< 0.1%
4.71 3
< 0.1%
4.68 1
 
< 0.1%
4.67 2
< 0.1%

ratings_count
Real number (ℝ)

High correlation 

Distinct9003
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54001.235
Minimum2716
Maximum4780653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:44.389813image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum2716
5-th percentile9209.95
Q113568.75
median21155.5
Q341053.5
95-th percentile170454.9
Maximum4780653
Range4777937
Interquartile range (IQR)27484.75

Descriptive statistics

Standard deviation157369.96
Coefficient of variation (CV)2.9141918
Kurtosis258.7461
Mean54001.235
Median Absolute Deviation (MAD)9527.5
Skewness13.058897
Sum5.4001235 × 108
Variance2.4765303 × 1010
MonotonicityNot monotonic
2024-12-11T22:55:44.563619image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9081 5
 
0.1%
14860 4
 
< 0.1%
15362 4
 
< 0.1%
11985 4
 
< 0.1%
12510 4
 
< 0.1%
10729 4
 
< 0.1%
18655 3
 
< 0.1%
13562 3
 
< 0.1%
32490 3
 
< 0.1%
19210 3
 
< 0.1%
Other values (8993) 9963
99.6%
ValueCountFrequency (%)
2716 1
< 0.1%
2773 1
< 0.1%
3200 1
< 0.1%
3427 1
< 0.1%
3508 1
< 0.1%
3799 1
< 0.1%
4225 1
< 0.1%
4281 1
< 0.1%
4513 1
< 0.1%
4528 1
< 0.1%
ValueCountFrequency (%)
4780653 1
< 0.1%
4602479 1
< 0.1%
3866839 1
< 0.1%
3198671 1
< 0.1%
2683664 1
< 0.1%
2346404 1
< 0.1%
2071616 1
< 0.1%
2044241 1
< 0.1%
2035490 1
< 0.1%
2001311 1
< 0.1%

work_ratings_count
Real number (ℝ)

High correlation 

Distinct9053
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59687.322
Minimum5510
Maximum4942365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:44.731811image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile10880.9
Q115438.75
median23832.5
Q345915
95-th percentile187182.75
Maximum4942365
Range4936855
Interquartile range (IQR)30476.25

Descriptive statistics

Standard deviation167803.79
Coefficient of variation (CV)2.8113807
Kurtosis234.07198
Mean59687.322
Median Absolute Deviation (MAD)10450
Skewness12.414522
Sum5.9687322 × 108
Variance2.815811 × 1010
MonotonicityNot monotonic
2024-12-11T22:55:44.897136image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12882 5
 
0.1%
15443 4
 
< 0.1%
17018 4
 
< 0.1%
13975 4
 
< 0.1%
13740 4
 
< 0.1%
13787 4
 
< 0.1%
11472 4
 
< 0.1%
18509 3
 
< 0.1%
16847 3
 
< 0.1%
29204 3
 
< 0.1%
Other values (9043) 9962
99.6%
ValueCountFrequency (%)
5510 1
< 0.1%
6323 1
< 0.1%
6823 1
< 0.1%
7045 1
< 0.1%
7353 1
< 0.1%
7410 1
< 0.1%
7437 1
< 0.1%
7735 1
< 0.1%
7825 1
< 0.1%
7845 1
< 0.1%
ValueCountFrequency (%)
4942365 1
< 0.1%
4800065 1
< 0.1%
3916824 1
< 0.1%
3340896 1
< 0.1%
2773745 1
< 0.1%
2478609 1
< 0.1%
2216814 1
< 0.1%
2196809 1
< 0.1%
2191465 1
< 0.1%
2120637 1
< 0.1%

work_text_reviews_count
Real number (ℝ)

High correlation 

Distinct4581
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2919.9553
Minimum3
Maximum155254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:45.056313image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile212
Q1694
median1402
Q32744.25
95-th percentile9959.05
Maximum155254
Range155251
Interquartile range (IQR)2050.25

Descriptive statistics

Standard deviation6124.3781
Coefficient of variation (CV)2.0974219
Kurtosis134.04687
Mean2919.9553
Median Absolute Deviation (MAD)852
Skewness9.130198
Sum29199553
Variance37508007
MonotonicityNot monotonic
2024-12-11T22:55:45.246551image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 12
 
0.1%
1207 11
 
0.1%
330 11
 
0.1%
652 11
 
0.1%
575 10
 
0.1%
544 10
 
0.1%
584 10
 
0.1%
671 9
 
0.1%
767 9
 
0.1%
504 9
 
0.1%
Other values (4571) 9898
99.0%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 1
 
< 0.1%
11 1
 
< 0.1%
17 1
 
< 0.1%
19 1
 
< 0.1%
24 2
< 0.1%
25 3
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
28 2
< 0.1%
ValueCountFrequency (%)
155254 1
< 0.1%
140739 1
< 0.1%
121614 1
< 0.1%
101023 1
< 0.1%
96274 1
< 0.1%
95009 1
< 0.1%
93611 1
< 0.1%
93600 1
< 0.1%
88538 1
< 0.1%
78204 1
< 0.1%

ratings_1
Real number (ℝ)

High correlation  Skewed 

Distinct2630
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1345.0406
Minimum11
Maximum456191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:45.413499image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile86
Q1196
median391
Q3885
95-th percentile4223.6
Maximum456191
Range456180
Interquartile range (IQR)689

Descriptive statistics

Standard deviation6635.6263
Coefficient of variation (CV)4.9334022
Kurtosis2289.6143
Mean1345.0406
Median Absolute Deviation (MAD)244
Skewness37.711598
Sum13450406
Variance44031536
MonotonicityNot monotonic
2024-12-11T22:55:45.584507image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145 29
 
0.3%
197 27
 
0.3%
114 27
 
0.3%
121 27
 
0.3%
268 26
 
0.3%
149 26
 
0.3%
120 26
 
0.3%
186 25
 
0.2%
161 24
 
0.2%
243 24
 
0.2%
Other values (2620) 9739
97.4%
ValueCountFrequency (%)
11 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
19 3
< 0.1%
20 3
< 0.1%
22 2
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
456191 1
< 0.1%
165455 1
< 0.1%
109383 1
< 0.1%
102837 1
< 0.1%
100994 1
< 0.1%
100373 1
< 0.1%
92779 1
< 0.1%
86236 1
< 0.1%
83094 1
< 0.1%
77841 1
< 0.1%

ratings_2
Real number (ℝ)

High correlation 

Distinct4117
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3110.885
Minimum30
Maximum436802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:45.733276image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile315
Q1656
median1163
Q32353.25
95-th percentile10416.9
Maximum436802
Range436772
Interquartile range (IQR)1697.25

Descriptive statistics

Standard deviation9717.1236
Coefficient of variation (CV)3.1235882
Kurtosis494.06574
Mean3110.885
Median Absolute Deviation (MAD)633.5
Skewness16.492711
Sum31108850
Variance94422491
MonotonicityNot monotonic
2024-12-11T22:55:45.907222image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
636 15
 
0.1%
600 13
 
0.1%
380 13
 
0.1%
581 13
 
0.1%
492 13
 
0.1%
770 12
 
0.1%
472 12
 
0.1%
496 12
 
0.1%
432 12
 
0.1%
658 12
 
0.1%
Other values (4107) 9873
98.7%
ValueCountFrequency (%)
30 1
< 0.1%
40 1
< 0.1%
53 1
< 0.1%
57 1
< 0.1%
61 2
< 0.1%
62 1
< 0.1%
66 1
< 0.1%
69 1
< 0.1%
77 1
< 0.1%
83 1
< 0.1%
ValueCountFrequency (%)
436802 1
< 0.1%
197621 1
< 0.1%
185520 1
< 0.1%
160660 1
< 0.1%
160295 1
< 0.1%
153179 1
< 0.1%
152293 1
< 0.1%
149549 1
< 0.1%
145740 1
< 0.1%
135147 1
< 0.1%

ratings_3
Real number (ℝ)

High correlation 

Distinct6972
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11475.894
Minimum323
Maximum793319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:46.079425image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum323
5-th percentile1774.95
Q13112
median4894
Q39287
95-th percentile37298.5
Maximum793319
Range792996
Interquartile range (IQR)6175

Descriptive statistics

Standard deviation28546.449
Coefficient of variation (CV)2.4875142
Kurtosis160.8281
Mean11475.894
Median Absolute Deviation (MAD)2260
Skewness10.399466
Sum1.1475894 × 108
Variance8.1489976 × 108
MonotonicityNot monotonic
2024-12-11T22:55:46.257751image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3200 8
 
0.1%
3016 6
 
0.1%
4518 6
 
0.1%
2643 6
 
0.1%
3704 6
 
0.1%
2593 6
 
0.1%
3261 6
 
0.1%
4059 6
 
0.1%
2442 6
 
0.1%
3876 6
 
0.1%
Other values (6962) 9938
99.4%
ValueCountFrequency (%)
323 1
< 0.1%
367 1
< 0.1%
384 1
< 0.1%
408 1
< 0.1%
463 1
< 0.1%
514 1
< 0.1%
570 1
< 0.1%
589 1
< 0.1%
638 1
< 0.1%
666 1
< 0.1%
ValueCountFrequency (%)
793319 1
< 0.1%
606158 1
< 0.1%
560092 1
< 0.1%
458429 1
< 0.1%
455042 1
< 0.1%
455024 1
< 0.1%
452673 1
< 0.1%
446835 1
< 0.1%
433432 1
< 0.1%
425648 1
< 0.1%

ratings_4
Real number (ℝ)

High correlation 

Distinct7762
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19965.697
Minimum750
Maximum1481305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:46.558835image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum750
5-th percentile3449.85
Q15405.75
median8269.5
Q316023.5
95-th percentile63914.8
Maximum1481305
Range1480555
Interquartile range (IQR)10617.75

Descriptive statistics

Standard deviation51447.358
Coefficient of variation (CV)2.5767875
Kurtosis174.02564
Mean19965.697
Median Absolute Deviation (MAD)3675
Skewness10.806903
Sum1.9965697 × 108
Variance2.6468307 × 109
MonotonicityNot monotonic
2024-12-11T22:55:46.728905image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5070 6
 
0.1%
5692 6
 
0.1%
6277 6
 
0.1%
6749 6
 
0.1%
3894 6
 
0.1%
6382 5
 
0.1%
5376 5
 
0.1%
7936 5
 
0.1%
7489 5
 
0.1%
5308 5
 
0.1%
Other values (7752) 9945
99.5%
ValueCountFrequency (%)
750 1
< 0.1%
872 1
< 0.1%
891 1
< 0.1%
1107 1
< 0.1%
1152 1
< 0.1%
1363 1
< 0.1%
1365 1
< 0.1%
1381 1
< 0.1%
1435 1
< 0.1%
1519 1
< 0.1%
ValueCountFrequency (%)
1481305 1
< 0.1%
1156318 1
< 0.1%
1001952 1
< 0.1%
936012 1
< 0.1%
875073 1
< 0.1%
716569 1
< 0.1%
698642 1
< 0.1%
698471 1
< 0.1%
692021 1
< 0.1%
687238 1
< 0.1%

ratings_5
Real number (ℝ)

High correlation 

Distinct8103
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23789.806
Minimum754
Maximum3011543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2024-12-11T22:55:46.893227image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Quantile statistics

Minimum754
5-th percentile2939.95
Q15334
median8836
Q317304.5
95-th percentile74148.8
Maximum3011543
Range3010789
Interquartile range (IQR)11970.5

Descriptive statistics

Standard deviation79768.886
Coefficient of variation (CV)3.3530701
Kurtosis419.88093
Mean23789.806
Median Absolute Deviation (MAD)4397.5
Skewness16.373531
Sum2.3789806 × 108
Variance6.3630751 × 109
MonotonicityNot monotonic
2024-12-11T22:55:47.060333image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4541 6
 
0.1%
5542 5
 
0.1%
4525 5
 
0.1%
6061 5
 
0.1%
4488 5
 
0.1%
5653 5
 
0.1%
4901 5
 
0.1%
5475 5
 
0.1%
3604 5
 
0.1%
4314 5
 
0.1%
Other values (8093) 9949
99.5%
ValueCountFrequency (%)
754 1
< 0.1%
781 1
< 0.1%
788 1
< 0.1%
849 1
< 0.1%
862 1
< 0.1%
885 1
< 0.1%
1001 1
< 0.1%
1030 1
< 0.1%
1056 1
< 0.1%
1076 1
< 0.1%
ValueCountFrequency (%)
3011543 1
< 0.1%
2706317 1
< 0.1%
1714267 1
< 0.1%
1355439 1
< 0.1%
1318227 1
< 0.1%
1311871 1
< 0.1%
1266670 1
< 0.1%
1195045 1
< 0.1%
1161491 1
< 0.1%
1155673 1
< 0.1%
Distinct6669
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
https://s.gr-assets.com/assets/nophoto/book/111x148-bcc042a9c91a29c1d680899eff700a03.png
3332 
https://images.gr-assets.com/books/1494428973m/43641.jpg
 
1
https://images.gr-assets.com/books/1421696237m/17901125.jpg
 
1
https://images.gr-assets.com/books/1329259095m/263173.jpg
 
1
https://images.gr-assets.com/books/1387141547m/2.jpg
 
1
Other values (6664)
6664 
ValueCountFrequency (%)
https://s.gr-assets.com/assets/nophoto/book/111x148-bcc042a9c91a29c1d680899eff700a03.png 3332
33.3%
https://images.gr-assets.com/books/1494428973m/43641.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1421696237m/17901125.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1329259095m/263173.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1387141547m/2.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1403194704m/8914.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1447303603m/2767052.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1474154022m/3.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1361039443m/41865.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1361975680m/2657.jpg 1
 
< 0.1%
Other values (6659) 6659
66.6%
ValueCountFrequency (%)
https 10000
100.0%
ValueCountFrequency (%)
images.gr-assets.com 6668
66.7%
s.gr-assets.com 3332
33.3%
ValueCountFrequency (%)
/assets/nophoto/book/111x148-bcc042a9c91a29c1d680899eff700a03.png 3332
33.3%
/books/1494428973m/43641.jpg 1
 
< 0.1%
/books/1421696237m/17901125.jpg 1
 
< 0.1%
/books/1329259095m/263173.jpg 1
 
< 0.1%
/books/1387141547m/2.jpg 1
 
< 0.1%
/books/1403194704m/8914.jpg 1
 
< 0.1%
/books/1447303603m/2767052.jpg 1
 
< 0.1%
/books/1474154022m/3.jpg 1
 
< 0.1%
/books/1361039443m/41865.jpg 1
 
< 0.1%
/books/1361975680m/2657.jpg 1
 
< 0.1%
Other values (6659) 6659
66.6%
ValueCountFrequency (%)
10000
100.0%
ValueCountFrequency (%)
10000
100.0%
Distinct6669
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
https://s.gr-assets.com/assets/nophoto/book/50x75-a91bf249278a81aabab721ef782c4a74.png
3332 
https://images.gr-assets.com/books/1494428973s/43641.jpg
 
1
https://images.gr-assets.com/books/1421696237s/17901125.jpg
 
1
https://images.gr-assets.com/books/1329259095s/263173.jpg
 
1
https://images.gr-assets.com/books/1387141547s/2.jpg
 
1
Other values (6664)
6664 
ValueCountFrequency (%)
https://s.gr-assets.com/assets/nophoto/book/50x75-a91bf249278a81aabab721ef782c4a74.png 3332
33.3%
https://images.gr-assets.com/books/1494428973s/43641.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1421696237s/17901125.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1329259095s/263173.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1387141547s/2.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1403194704s/8914.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1447303603s/2767052.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1474154022s/3.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1361039443s/41865.jpg 1
 
< 0.1%
https://images.gr-assets.com/books/1361975680s/2657.jpg 1
 
< 0.1%
Other values (6659) 6659
66.6%
ValueCountFrequency (%)
https 10000
100.0%
ValueCountFrequency (%)
images.gr-assets.com 6668
66.7%
s.gr-assets.com 3332
33.3%
ValueCountFrequency (%)
/assets/nophoto/book/50x75-a91bf249278a81aabab721ef782c4a74.png 3332
33.3%
/books/1494428973s/43641.jpg 1
 
< 0.1%
/books/1421696237s/17901125.jpg 1
 
< 0.1%
/books/1329259095s/263173.jpg 1
 
< 0.1%
/books/1387141547s/2.jpg 1
 
< 0.1%
/books/1403194704s/8914.jpg 1
 
< 0.1%
/books/1447303603s/2767052.jpg 1
 
< 0.1%
/books/1474154022s/3.jpg 1
 
< 0.1%
/books/1361039443s/41865.jpg 1
 
< 0.1%
/books/1361975680s/2657.jpg 1
 
< 0.1%
Other values (6659) 6659
66.6%
ValueCountFrequency (%)
10000
100.0%
ValueCountFrequency (%)
10000
100.0%

Interactions

2024-12-11T22:55:34.636088image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.276736image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.433127image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:04.806440image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.427542image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.544045image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.841599image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.085878image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.474791image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.724121image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.873832image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.189262image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.522893image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.807239image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.958827image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.303115image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:34.912596image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.416592image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.547110image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.077667image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.561630image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.677016image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.959710image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.224858image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.607703image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.857995image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.005855image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.338354image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.654330image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.941133image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.088922image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.436306image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.068033image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.547204image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.783477image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.278957image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.679105image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.825740image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.093969image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.476845image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.725257image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.982487image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.140156image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.481297image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.787428image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.071208image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.235330image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.585877image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.185799image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.681069image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.913337image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.478210image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.830405image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.960949image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.225503image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.627786image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.874230image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.107770image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.289510image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.622154image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.921793image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.210008image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.370388image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.736129image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.334250image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.812286image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.045418image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.649877image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.960541image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.093806image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.359567image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.757216image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.991571image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.240303image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.425069image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.755804image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.058146image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.378114image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.504129image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.879609image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.468498image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:54:59.938200image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.179489image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.795544image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.092602image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.227155image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.494006image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:14.893029image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.140224image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.394167image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.564252image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.908054image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.188590image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.504482image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.653802image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.006598image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.600947image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.083884image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.313528image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:05.976769image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.232363image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.367881image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.627715image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.060696image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.292174image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.524322image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.688931image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.054201image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.322110image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.638062image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:30.920009image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.160338image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.735055image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.222462image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.539266image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.111671image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.361364image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.622664image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.777724image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.192369image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.425734image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.667616image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.839856image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.188895image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.456022image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.770838image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.061517image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.286289image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.868575image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.348398image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.712089image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.245162image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.494514image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.761583image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:12.908634image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.335244image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.558059image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.795563image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:21.956492image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.322697image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.754058image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:28.902411image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.187029image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.419209image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:35.987504image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.481376image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:02.945069image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.377536image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.611874image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:10.892582image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.042928image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.458268image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.684097image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:19.940172image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.090008image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.465627image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:26.891195image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.031398image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.322658image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.552573image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.133310image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.614107image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:03.195144image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.515152image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.752915image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.025269image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.228476image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.607813image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.808569image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.073874image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.223159image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.629727image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.021101image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.160747image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.453228image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.685878image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.268287image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.747659image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:03.461906image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.649604image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:08.876543image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.159227image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.389042image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.782578image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:17.940281image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.224976image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.396623image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.772151image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.154568image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.286139image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.603391image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:33.819341image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.401827image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:00.880382image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:03.778242image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:06.889732image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.011077image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.293670image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.508326image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:15.908469image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.075044image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.340358image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.660473image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:24.905384image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.270481image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.420756image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.736486image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:34.017734image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.526865image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.014541image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:04.046297image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.026557image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.135888image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.428518image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.626789image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.041840image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.206617image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.473872image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.788479image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.039339image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.405032image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.537812image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:31.878695image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:34.218769image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.650912image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.146716image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:04.314319image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.161430image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.275848image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.560179image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.776328image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.192129image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.452274image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.606117image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:22.924548image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.193186image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.538098image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.681171image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.009825image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:34.352128image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:36.800534image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:01.279217image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:04.577991image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:07.309837image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:09.410146image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:11.710377image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:13.956036image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:16.340744image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:18.590845image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:20.740288image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:23.058980image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:25.339455image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:27.671107image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:29.818742image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:32.162417image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
2024-12-11T22:55:34.502383image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/

Correlations

2024-12-11T22:55:47.194788image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
average_ratingbest_book_idbook_idbooks_countgoodreads_book_idisbn13language_codeoriginal_publication_yearratings_1ratings_2ratings_3ratings_4ratings_5ratings_countwork_idwork_ratings_countwork_text_reviews_count
average_rating1.0000.042-0.036-0.1840.0400.1030.030-0.027-0.357-0.470-0.3300.0140.4110.079-0.0350.065-0.151
best_book_id0.0421.0000.170-0.3890.9810.1260.0760.775-0.025-0.100-0.151-0.098-0.090-0.1490.724-0.1000.254
book_id-0.0360.1701.000-0.4580.1800.0450.0210.109-0.716-0.762-0.859-0.918-0.857-0.9370.051-0.950-0.605
books_count-0.184-0.389-0.4581.000-0.401-0.1510.000-0.4330.3100.4370.5120.4770.3070.393-0.2240.4350.282
goodreads_book_id0.0400.9810.180-0.4011.0000.1280.0800.788-0.033-0.109-0.160-0.108-0.099-0.1540.735-0.1100.247
isbn130.1030.1260.045-0.1510.1281.0000.1100.105-0.031-0.086-0.114-0.079-0.009-0.0640.073-0.061-0.045
language_code0.0300.0760.0210.0000.0800.1101.0000.0950.0000.0000.0000.0000.0000.0000.0690.0000.000
original_publication_year-0.0270.7750.109-0.4330.7880.1050.0951.0000.024-0.026-0.070-0.012-0.066-0.0740.723-0.0340.376
ratings_1-0.357-0.025-0.7160.310-0.033-0.0310.0000.0241.0000.9240.7830.6370.5450.7010.0700.7070.630
ratings_2-0.470-0.100-0.7620.437-0.109-0.0860.000-0.0260.9241.0000.9270.7400.5340.7590.0310.7730.657
ratings_3-0.330-0.151-0.8590.512-0.160-0.1140.000-0.0700.7830.9271.0000.8940.6560.872-0.0070.8900.655
ratings_40.014-0.098-0.9180.477-0.108-0.0790.000-0.0120.6370.7400.8941.0000.8450.9400.0420.9690.702
ratings_50.411-0.090-0.8570.307-0.099-0.0090.000-0.0660.5450.5340.6560.8451.0000.905-0.0130.9080.524
ratings_count0.079-0.149-0.9370.393-0.154-0.0640.000-0.0740.7010.7590.8720.9400.9051.000-0.0300.9820.613
work_id-0.0350.7240.051-0.2240.7350.0730.0690.7230.0700.031-0.0070.042-0.013-0.0301.0000.0230.365
work_ratings_count0.065-0.100-0.9500.435-0.110-0.0610.000-0.0340.7070.7730.8900.9690.9080.9820.0231.0000.671
work_text_reviews_count-0.1510.254-0.6050.2820.247-0.0450.0000.3760.6300.6570.6550.7020.5240.6130.3650.6711.000

Missing values

2024-12-11T22:55:36.996875image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-11T22:55:37.292482image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-12-11T22:55:37.497126image/svg+xmlMatplotlib v3.9.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

book_idgoodreads_book_idbest_book_idwork_idbooks_countisbnisbn13authorsoriginal_publication_yearoriginal_titletitlelanguage_codeaverage_ratingratings_countwork_ratings_countwork_text_reviews_countratings_1ratings_2ratings_3ratings_4ratings_5image_urlsmall_image_url
012767052276705227927752724390234839.780439e+12Suzanne Collins2008.0The Hunger GamesThe Hunger Games (The Hunger Games, #1)eng4.34478065349423651552546671512793656009214813052706317https://images.gr-assets.com/books/1447303603m/2767052.jpghttps://images.gr-assets.com/books/1447303603s/2767052.jpg
123346407994914395549349.780440e+12J.K. Rowling, Mary GrandPré1997.0Harry Potter and the Philosopher's StoneHarry Potter and the Sorcerer's Stone (Harry Potter, #1)eng4.4446024794800065758677550410167645502411563183011543https://images.gr-assets.com/books/1474154022m/3.jpghttps://images.gr-assets.com/books/1474154022s/3.jpg
23418654186532122582263160158499.780316e+12Stephenie Meyer2005.0TwilightTwilight (Twilight, #1)en-US3.5738668393916824950094561914368027933198750731355439https://images.gr-assets.com/books/1361039443m/41865.jpghttps://images.gr-assets.com/books/1361039443s/41865.jpg
34265726573275794487611200819.780061e+12Harper Lee1960.0To Kill a MockingbirdTo Kill a Mockingbirdeng4.2531986713340896725866042711741544683510019521714267https://images.gr-assets.com/books/1361975680m/2657.jpghttps://images.gr-assets.com/books/1361975680s/2657.jpg
454671467124549413567432735679.780743e+12F. Scott Fitzgerald1925.0The Great GatsbyThe Great Gatsbyeng3.89268366427737455199286236197621606158936012947718https://images.gr-assets.com/books/1490528560m/4671.jpghttps://images.gr-assets.com/books/1490528560s/4671.jpg
561187008511870085168274622265254788179.780525e+12John Green2012.0The Fault in Our StarsThe Fault in Our Starseng4.262346404247860914073947994927233275506984711311871https://images.gr-assets.com/books/1360206420m/11870085.jpghttps://images.gr-assets.com/books/1360206420s/11870085.jpg
675907590715402369696182603079.780618e+12J.R.R. Tolkien1937.0The Hobbit or There and Back AgainThe Hobbiten-US4.25207161621968093765346023767842886496656351119718https://images.gr-assets.com/books/1372847500m/5907.jpghttps://images.gr-assets.com/books/1372847500s/5907.jpg
785107510730367313603167691779.780317e+12J.D. Salinger1951.0The Catcher in the RyeThe Catcher in the Ryeeng3.792044241212063744920109383185520455042661516709176https://images.gr-assets.com/books/1398034300m/5107.jpghttps://images.gr-assets.com/books/1398034300s/5107.jpg
89960960333896331114165247979.781417e+12Dan Brown2000.0Angels & DemonsAngels & Demons (Robert Langdon, #1)en-CA3.85200131120787542511277841145740458429716569680175https://images.gr-assets.com/books/1303390735m/960.jpghttps://images.gr-assets.com/books/1303390735s/960.jpg
91018851885306092634556797832619.780680e+12Jane Austen1813.0Pride and PrejudicePride and Prejudiceeng4.24203549021914654915254700864852848526097551155673https://images.gr-assets.com/books/1320399351m/1885.jpghttps://images.gr-assets.com/books/1320399351s/1885.jpg
book_idgoodreads_book_idbest_book_idwork_idbooks_countisbnisbn13authorsoriginal_publication_yearoriginal_titletitlelanguage_codeaverage_ratingratings_countwork_ratings_countwork_text_reviews_countratings_1ratings_2ratings_3ratings_4ratings_5image_urlsmall_image_url
999099911010941010941198275373854251399.780385e+12Ben Okri1991.0The Famished RoadThe Famished Roadeng3.7382518875586465815204628952654https://images.gr-assets.com/books/1344396715m/101094.jpghttps://images.gr-assets.com/books/1344396715s/101094.jpg
99919992136162781361627819217996265751132949.780575e+12Miles Cameron2012.0The Red KnightThe Red Knight (The Traitor Son Cycle, #1)eng4.12855610102742232491137537124292https://images.gr-assets.com/books/1348037761m/13616278.jpghttps://images.gr-assets.com/books/1348037761s/13616278.jpg
99929993493645749364575002120272240799489.780224e+12Ian Mortimer2008.0The Time-Traveller's Guide to Medieval England: A Handbook for Visitors to the Fourteenth CenturyThe Time Traveller's Guide to Medieval England: A Handbook for Visitors to the Fourteenth Centuryeng3.99982412115970236521249747904071https://images.gr-assets.com/books/1328167619m/4936457.jpghttps://images.gr-assets.com/books/1328167619s/4936457.jpg
9993999447696514769651483446628109835599.780811e+12Michael Buckley, Peter Ferguson2009.0The Everafter War (The Sisters Grimm, #7)The Everafter War (The Sisters Grimm, #7)eng4.321249312965455110289174539896832https://images.gr-assets.com/books/1388278230m/4769651.jpghttps://images.gr-assets.com/books/1388278230s/4769651.jpg
999499951561315613276423919914165237239.781417e+12Herman Melville1924.0Billy Budd, SailorBilly Budd, Sailoreng3.09108661211068114782225380529851617https://s.gr-assets.com/assets/nophoto/book/111x148-bcc042a9c91a29c1d680899eff700a03.pnghttps://s.gr-assets.com/assets/nophoto/book/50x75-a91bf249278a81aabab721ef782c4a74.png
99959996713061671306167392860194410194559.780441e+12Ilona Andrews2010.0Bayou MoonBayou Moon (The Edge, #2)eng4.0917204188561180105575353878606778https://images.gr-assets.com/books/1307445460m/7130616.jpghttps://images.gr-assets.com/books/1307445460s/7130616.jpg
99969997208324208324108470919067973371X9.780680e+12Robert A. Caro1990.0Means of AscentMeans of Ascent (The Years of Lyndon Johnson, #2)eng4.251258212952395303551173733896972https://s.gr-assets.com/assets/nophoto/book/111x148-bcc042a9c91a29c1d680899eff700a03.pnghttps://s.gr-assets.com/assets/nophoto/book/50x75-a91bf249278a81aabab721ef782c4a74.png
999799987743177431239398660039330762X9.780393e+12Patrick O'Brian1977.0The Mauritius CommandThe Mauritius Commandeng4.3594211073337411111119142405180https://images.gr-assets.com/books/1455373531m/77431.jpghttps://images.gr-assets.com/books/1455373531s/77431.jpg
9998999985650838565083134336137617115279.780062e+12Peggy Orenstein2011.0Cinderella Ate My Daughter: Dispatches from the Frontlines of the New Girlie-Girl CultureCinderella Ate My Daughter: Dispatches from the Frontlines of the New Girlie-Girl Cultureeng3.65112791199419882751002376545772375https://images.gr-assets.com/books/1279214118m/8565083.jpghttps://images.gr-assets.com/books/1279214118s/8565083.jpg
9999100008914891411817313757004559.780376e+12John Keegan1998.0The First World WarThe First World WarNaN4.0091629700364117345203141383069https://images.gr-assets.com/books/1403194704m/8914.jpghttps://images.gr-assets.com/books/1403194704s/8914.jpg